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Record W1848973140 · doi:10.24908/pceea.v0i0.4717

INTERDISCIPLINARY CAPSTONE DESIGN STREAM AT THE UNIVERSITY OF WATERLOO: IMPLEMENTATION PLAN

2012· article· en· W1848973140 on OpenAlexafffundvenueabout
Cherly Pearce, Steve Lambert, Wayne J. Parker

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2012
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversity of Waterloo
FundersUniversity of Waterloo
KeywordsCapstoneDeliverablePlan (archaeology)Engineering managementEngineering educationTerminologyEngineeringEngineering ethicsComputer scienceSystems engineering

Abstract

fetched live from OpenAlex

An interdisciplinary design approach is a collaborative effort involving team members from different engineering disciplines to solve a problem. An opportunity for interdisciplinary education exists in the fourth year capstone design project. Interdisciplinary capstone courses are offered at other Canadian universities but, at the University of Waterloo (UW) the co-operative undergraduate engineering program poses a logistical barrier to students interacting with students in other disciplines for capstone design projects. Currently, students can form their own interdisciplinary team but differences in course structure, project deliverables, and design terminology and method between engineering disciplines is challenging for students and instructors. An investigation into the feasibility of a new interdisciplinary capstone design course at UW is undertaken. A possible home for the interdisciplinary capstone course could be under the Chair of Design Engineering. Overall, receptivity among departments is positive but a more comprehensive analysis is required.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.225
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2012
Admission routes4
Has abstractyes

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